Literature DB >> 15050667

Using a Rasch model to examine the utility of the South Oaks Gambling Screen across clinical and community samples.

David R Strong1, Henry R Lesieur, Robert B Breen, Randy Stinchfield, C W Lejuez.   

Abstract

The South Oaks Gambling Screen (SOGS: [Am. J. Psychiatr. 144 (1987) 1184]) is one of the most widely used measures of gambling problems in epidemiological studies and clinical evaluations. In the current paper, we were able to examine the SOGS using a Rasch model with data obtained from a representative community sample and a large clinical sample. The SOGS demonstrated significant stability across community and clinical samples despite the sample differences in gambling behaviors and demographic characteristics. In the clinical sample, we demonstrated the significant agreement between DSM-IV- and SOGS-based estimates of each person's level of gambling problem severity. However, the relative severity of DSM-IV and SOGS symptoms suggests that the measures tap somewhat different and overlapping regions of the latent continuum. We estimate that the DSM-IV reliably separates three levels of gambling problem severity and provides corresponding cut scores for a SOGS scale composed of 15 sample-invariant items. Recommendations for a relaxed cut score on the DSM-IV and reduced set of SOGS items are discussed.

Entities:  

Mesh:

Year:  2004        PMID: 15050667     DOI: 10.1016/j.addbeh.2003.08.017

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  21 in total

1.  Gambling, disordered gambling and their association with major depression and substance use: a web-based cohort and twin-sibling study.

Authors:  C Blanco; J Myers; K S Kendler
Journal:  Psychol Med       Date:  2011-08-11       Impact factor: 7.723

2.  The relationship among negative affect, distress tolerance, and length of gambling abstinence attempt.

Authors:  Stacey B Daughters; C W Lejuez; David R Strong; Richard A Brown; Robert B Breen; Henry R Lesieur
Journal:  J Gambl Stud       Date:  2005

3.  A test of the false positive bias hypothesis.

Authors:  Blasé Gambino
Journal:  J Gambl Stud       Date:  2007-03

4.  Validation of the problem gambling severity index using confirmatory factor analysis and rasch modelling.

Authors:  Natalie V Miller; Shawn R Currie; David C Hodgins; David Casey
Journal:  Int J Methods Psychiatr Res       Date:  2013-09-09       Impact factor: 4.035

5.  Disordered Gambling Prevalence: Methodological Innovations in a General Danish Population Survey.

Authors:  Glenn W Harrison; Lasse J Jessen; Morten I Lau; Don Ross
Journal:  J Gambl Stud       Date:  2018-03

6.  A shorter and multidimensional version of the Gambling Attitudes and Beliefs Survey (GABS-23).

Authors:  Gaëlle Bouju; Jean-Benoit Hardouin; Claude Boutin; Philip Gorwood; Jean-Damien Le Bourvellec; Fanny Feuillet; Jean-Luc Venisse; Marie Grall-Bronnec
Journal:  J Gambl Stud       Date:  2014-06

7.  Setting criterion thresholds for estimating prevalence: what is being validated?

Authors:  Blase Gambino
Journal:  J Gambl Stud       Date:  2014-09

8.  Gambling Behaviors Among Oxford House Residents: A Preliminary Investigation.

Authors:  John M Majer; Robert S Angulo; Darrin M Aase; Leonard A Jason
Journal:  J Soc Serv Res       Date:  2011-07

9.  Should pathological gambling and obesity be considered addictive disorders? A factor analytic study in a nationally representative sample.

Authors:  Carlos Blanco; María García-Anaya; Melanie Wall; José Carlos Pérez de Los Cobos; Ewelina Swierad; Shuai Wang; Nancy M Petry
Journal:  Drug Alcohol Depend       Date:  2015-02-25       Impact factor: 4.492

10.  Reliability, validity and classification accuracy of the South Oaks Gambling Screen in a Brazilian sample.

Authors:  Maria Paula Magalhães Tavares de Oliveira; Dartiu Xavier da Silveira; Simone Villas Boas de Carvalho; Silvia Teresa Collakis; Juliana Bizeto; Maria Teresa Araujo Silva
Journal:  J Gambl Stud       Date:  2009-09-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.